Job Scheduling Strategies for Parallel Processing 19th and 20th International Workshops, JSSPP 2015, Hyderabad, India, May 26, 2015 and JSSPP 2016, Chicago, IL, USA, May 27, 2016, Revised Selected Papers /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Desai, Narayan. (Editor), Cirne, Walfredo. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Theoretical Computer Science and General Issues ; 10353
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-61756-5
Table of Contents:
  • Parallel scheduling challenges raising at multiple levels of abstractions
  • node level parallelism
  • Minimization of energy consumption in task migration within a many-core chip;
  • Task replication in real-time scheduling context
  • Data-driven approach to schedule GPU load
  • The use of lock-free data structures in OS scheduler
  • The influence between user behaviour (think time, more precisely) and parallel scheduling
  • Evalix, a predictor for job resource consumption
  • Sophisticated and realistic simulation
  • Space-filling curves leading to better scheduling of large-scale computers
  • Discussion of real-life production experiences.